Introduction Synthetic cannabinoids (SCs) are psychoactive substances that are gaining popularity for their availability and lack of detection by standardized drug tests. Although some users may perceive SCs as safer alternatives to marijuana, some SCs are more potent and result in more severe toxicities. Methods A search of the literature was conducted in the PubMed and SciFinder databases. Results in PubMed were limited to human studies, and only articles in English were included. Results Review of the literature illustrates the hazards associated with SC use. A range of severe toxicities affecting numerous systems has been identified, such as arrhythmias, myocardial infarction, sudden cardiac death, psychosis, suicidal ideation, seizures, acute tubular necrosis, and intracranial hemorrhage. Additionally, a recent outbreak of coagulopathies and at least 4 associated deaths due to SCs tainted with brodifacoum have been reported. Discussion Synthetic cannabinoids may be perceived as a safer alternative to marijuana; however, SCs can be more potent at the cannabinoid receptors and in turn have greater toxicities. Limited information is available on the metabolism of SCs; however, cytochrome P450 pathways may be involved, which could result in drug interactions and unpredicted adverse effects. Toxicity with SC use is not just related to its effects, but also to additives that may taint these products and enhance their effects. Health care providers should be aware of the range of toxicities related to SC use, and tainted products such as these agents are not detected on routine drug screens.

SciFinder, a resource from the Chemical Abstracts Service (CAS), is a curated database of chemical and bibliographic information that covers several scientific and biomedical fields, with an emphasis on chemistry. SciFinder is an appropriate resource to consult for literature searches and to find background information on chemicals, drugs, and substances.

Utilization of measurement-based care (MBC) for bipolar disorders is limited, in part because of uncertainty regarding the utility of available measures. The aim of this study was to synthesize the literature on patient-reported and clinician-observed measures of symptoms of bipolar disorder and the potential use of these measures in MBC.Methods: A systematic review of multiple databases (PubMed, Embase, PsycINFO, Cochrane Library, and other gray literature) was conducted in June 2017 to identify validated measures. Data on the psychometric properties of each measure were extracted and used to assess the measure's clinical utility on the basis of established guidelines.Results: Twenty-eight unique measures were identified in 39 studies, including four patient-reported and six clinicianobserved measures assessing manic symptoms, three patient-reported and five clinician-observed measures of depressive symptoms, and six patient-reported and four clinician-observed measures of both symptom types. Patient-reported measures with the highest clinical utility included the Altman Self-Rating Mania Scale for assessment of manic symptoms, the Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR) (depressive symptoms), and the Internal State Scale (both types). Highly rated clinician (C)-observed scales were the Bech-Rafaelsen Mania Rating Scale (mania), the QIDS-C (depressive symptoms), and the Bipolar Inventory of Symptoms Scale (both types).Conclusions: Suitable choices are available for MBC of bipolar disorders. The choice of a measure could be informed by clinical utility score and may also depend on how clinicians or practices weigh each category of the clinical utility scale and on the clinical setting and presenting problem.